Bluff Body Fluid Interactions Modelling for Micro Energy Harvesting Application

Bhuyan, M. S.; Majlis, Burhanuddin Yeop; Othman, Masuri; Ali, Sawal Hamid Md; Kalaivani, C.; Islam, Sikder Sunbeam

doi:10.1088/1742-6596/431/1/012024

Cited by 7 publications

(2 citation statements)

References 20 publications

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“…The relationship between the acoustic nonlinearity and the existence of the solid impurities is further verified by numerical simulation in this part. Guided wave propagation process in a three-dimensional aluminum beam under two cases (the surface breaking crack without impurities and the surface breaking crack filled with solid impurities) is simulated using the piezoelectric devices modules in the COMSOL5.2a Multiphysics software [77], [78]. The structure model is the same as the experimental specimen presented in Fig.7.…”

Section: B Simulation Verification Of the Proposed Detection Methods mentioning

confidence: 99%

Detection of Surface Breaking Cracks Filled With Solid Impurities Using a Baseline-Free NEWS-TR Method

Qin

Zhang

et al. 2020

IEEE Access

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The use of piezoceramic transducers for cracks identification via guided wave has attracted significant attention recently. Most studies assume that the medium in surface breaking cracks is only air. However, it is common that such cracks are filled with impurities (e.g. dust, grease) due to its exposure to the operational environment. The impurities may affect the propagation of the ultrasonic guided wave and hence it is of practical interest to develop detection methods for surface breaking cracks filled with impurities. This work investigates the possible effect of contact acoustic nonlinearity (CAN) on detecting surface breaking cracks filled with solid impurities. A baseline-free method is proposed to detect surface breaking cracks filled with solid impurities using the nonlinear elastic wave spectroscopy (NEWS) as a pre-treatment of time-reversal (TR). This method involves three key issues: selecting low-frequency swept signal modulated by Hanning window as an excitation signal, comparing the initial filtered response with the nonlinear time reversal response to determine the nonlinear feature related to such cracks, and determining the recommended low cutoff frequency to extract such nonlinear feature. The feasibility of the proposed method is experimentally and numerically verified using aluminum beams with surface breaking cracks. Results show that due to the existence of solid impurities, the crack interacts with low-frequency ultrasonic waves, which leads to nonlinear components in the response signal. It also indicates that after the time-reversal processing, the shifting of the maximum peak frequency from the second harmonic range to the third harmonic range can be used as a damage-sensitive nonlinear feature for detecting such cracks. The proposed method provides a promising way to identify surface breaking cracks filled with solid impurities without reference signal. INDEX TERMS Baseline-free damage detection, contact acoustic nonlinearity (CAN), nonlinear elastic wave spectroscopy (NEWS), piezoelectric transducers, surface breaking cracks filled with solid impurities, structural health monitoring (SHM), time reversal (TR). GUOMING CHEN received the B.S. and M.S. degrees in petroleum mechanical engineering and the Ph.D. degree in mechanical design and theory from the

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Section: B Simulation Verification Of the Proposed Detection Methods mentioning

confidence: 99%

Detection of Surface Breaking Cracks Filled With Solid Impurities Using a Baseline-Free NEWS-TR Method

Qin

Zhang

et al. 2020

IEEE Access

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show abstract

“…The basic steps of the working are shown in the Figure. 1. The energy produced from the harvester have been provided with a source of fluid flow, in this case, running water that creates the dynamic and fluid pressure for the piezoelectric material to convert this pressure into electrical energy [14][15][16][17][18][19][20][21][22]. The generated voltage can be utilized or stored in a number of applications.…”

Section: Perspective Systemmentioning

confidence: 99%